We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
A distributed problem solving approach to job shop scheduling is described in this paper. The approach views the system as an Organisation. Agents are assigned di erent roles and ...
Abstract--This paper is focusing on exact Bayesian reasoning in systems of agents, which represent weakly coupled processing modules supporting collaborative inference through mess...
In this paper we present the Electronic Institutions Development Environment (EIDE) to support the engineering of multiagent systems as Electronic Institutions. An electronic inst...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...